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IJCAI
2007
15 years 8 months ago
A Hybridized Planner for Stochastic Domains
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
Mausam, Piergiorgio Bertoli, Daniel S. Weld
IJCAI
2007
15 years 8 months ago
Vote and Aggregation in Combinatorial Domains with Structured Preferences
In many real-world collective decision problems, the set of alternatives is a Cartesian product of finite value domains for each of a given set of variables. The prohibitive size...
Jérôme Lang
NIPS
2007
15 years 8 months ago
Sequential Hypothesis Testing under Stochastic Deadlines
Most models of decision-making in neuroscience assume an infinite horizon, which yields an optimal solution that integrates evidence up to a fixed decision threshold; however, u...
Peter Frazier, Angela Yu
IJCAI
2001
15 years 8 months ago
Symbolic Dynamic Programming for First-Order MDPs
We present a dynamic programming approach for the solution of first-order Markov decisions processes. This technique uses an MDP whose dynamics is represented in a variant of the ...
Craig Boutilier, Raymond Reiter, Bob Price
IJCAI
2001
15 years 8 months ago
Efficient Consequence Finding
We present an extensive experimental study of consequence-finding algorithms based on kernel resolution, using both a trie-based and a novel ZBDD-based implementation, which uses ...
Laurent Simon, Alvaro del Val